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infrastructures that supports large-scale data and hypothesis-driven research in the field of molecular biosciences. SciLifeLab (www.scilifelab.se ) operates nationally, engaging all major Universities of Sweden
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The Department of Medical Biosciences is offering a postdoctoral scholarship within the project “Developing computational tools for large-scale human intracellular signaling models”. The scholarship
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, proteomics, bioinformatics, or a related field Strong experience and a passion for mass spectrometry-based proteomics, computational biology, and large-scale data integration Interest in plant immunity
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
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at KTH in the Biotechnology doctoral program (according to KTH’s regulations). Signing a researcher agreement is a necessary condition to accept this PhD position. More information about Formulation of
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research infrastructures SciLifeLab, Swedigarch and ArchLab. The Ancient DNA unit is in operation since 2019 and the interest in the unit’s services is large across Sweden and internationally. At the Ancient
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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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including researchers in archaeology, anthropology, genetics, evolution, biodiversity and more, as well as to e.g. museum staff and contract archaeologists. The interest for the unit’s services is large and
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workflows for large epidemiological cohorts and clinical projects, supporting both tailored user analyses and internal projects. A key component will be the development of pipelines and applications for data
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at Sahlgrenska Academy of relevance include genomics, metagenomics, culturomics, proteomics, transcriptomics, software development, machine learning, and other statistical analyses of large-scale health data